Rinon Gal

According to our database, Rinon Gal authored at least 26 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Training-Free Consistent Text-to-Image Generation.

Yoad Tewel, Omri Kaduri, Rinon Gal, Yoni Kasten, Lior Wolf, Gal Chechik, Yuval Atzmon

ACM Trans. Graph., July, 2024

TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models.

Gilad Deutch, Rinon Gal, Daniel Garibi, Or Patashnik, Daniel Cohen-Or

CoRR, 2024

DiffUHaul: A Training-Free Method for Object Dragging in Images.

Omri Avrahami, Rinon Gal, Gal Chechik, Ohad Fried, Dani Lischinski, Arash Vahdat, Weili Nie

CoRR, 2024

LCM-Lookahead for Encoder-based Text-to-Image Personalization.

Rinon Gal, Or Lichter, Elad Richardson, Or Patashnik, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or

CoRR, 2024

Consolidating Attention Features for Multi-view Image Editing.

Or Patashnik, Rinon Gal, Daniel Cohen-Or, Jun-Yan Zhu, Fernando De la Torre

CoRR, 2024

Breathing Life Into Sketches Using Text-to-Video Priors.

Rinon Gal, Yael Vinker, Yuval Alaluf, Amit Bermano, Daniel Cohen-Or, Ariel Shamir, Gal Chechik

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models.

Rinon Gal, Moab Arar, Yuval Atzmon, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or

ACM Trans. Graph., August, 2023

Designing an Encoder for Fast Personalization of Text-to-Image Models.

Rinon Gal, Moab Arar, Yuval Atzmon, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or

CoRR, 2023

Cross-domain Compositing with Pretrained Diffusion Models.

Roy Hachnochi, Mingrui Zhao, Nadav Orzech, Rinon Gal, Ali Mahdavi-Amiri, Daniel Cohen-Or, Amit Haim Bermano

CoRR, 2023

Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models.

Moab Arar, Rinon Gal, Yuval Atzmon, Gal Chechik, Daniel Cohen-Or, Ariel Shamir, Amit H. Bermano

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Key-Locked Rank One Editing for Text-to-Image Personalization.

Yoad Tewel, Rinon Gal, Gal Chechik, Yuval Atzmon

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit Haim Bermano, Gal Chechik, Daniel Cohen-Or

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

StyleGAN-NADA: CLIP-guided domain adaptation of image generators.

Rinon Gal, Or Patashnik, Haggai Maron, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or

ACM Trans. Graph., 2022

Self-Conditioned Generative Adversarial Networks for Image Editing.

Yunzhe Liu, Rinon Gal, Amit H. Bermano, Baoquan Chen, Daniel Cohen-Or

CoRR, 2022

State-of-the-Art in the Architecture, Methods and Applications of StyleGAN.

Amit H. Bermano, Rinon Gal, Yuval Alaluf, Ron Mokady, Yotam Nitzan, Omer Tov, Or Patashnik, Daniel Cohen-Or

Comput. Graph. Forum, 2022

Stitch it in Time: GAN-Based Facial Editing of Real Videos.

Rotem Tzaban, Ron Mokady, Rinon Gal, Amit Bermano, Daniel Cohen-Or

Proceedings of the SIGGRAPH Asia 2022 Conference Papers, 2022

Self-Conditioned GANs for Image Editing.

Yunzhe Liu, Rinon Gal, Amit H. Bermano, Baoquan Chen, Daniel Cohen-Or

Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

"This Is My Unicorn, Fluffy": Personalizing Frozen Vision-Language Representations.

Niv Cohen, Rinon Gal, Eli A. Meirom, Gal Chechik, Yuval Atzmon

Proceedings of the Computer Vision - ECCV 2022, 2022

LARGE: Latent-Based Regression through GAN Semantics.

Yotam Nitzan, Rinon Gal, Ofir Brenner, Daniel Cohen-Or

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing.

Yuval Alaluf, Omer Tov, Ron Mokady, Rinon Gal, Amit Bermano

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

SWAGAN: a style-based wavelet-driven generative model.

Rinon Gal, Dana Cohen Hochberg, Amit Bermano, Daniel Cohen-Or

ACM Trans. Graph., 2021

StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators.

Rinon Gal, Or Patashnik, Haggai Maron, Gal Chechik, Daniel Cohen-Or

CoRR, 2021

MRGAN: Multi-Rooted 3D Shape Representation Learning with Unsupervised Part Disentanglement.

Rinon Gal, Amit Bermano, Hao Zhang, Daniel Cohen-Or

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

MRGAN: Multi-Rooted 3D Shape Generation with Unsupervised Part Disentanglement.

Rinon Gal, Amit Bermano, Hao Zhang, Daniel Cohen-Or

CoRR, 2020

Cardinal Graph Convolution Framework for Document Information Extraction.

Rinon Gal, Shai Ardazi, Roy Shilkrot

Proceedings of the DocEng '20: ACM Symposium on Document Engineering 2020, Virtual Event, CA, USA, September 29, 2020

2018

Visual-Linguistic Methods for Receipt Field Recognition.

Rinon Gal, Nimrod Morag, Roy Shilkrot

Proceedings of the Computer Vision - ACCV 2018, 2018